If you could add one digital product to Krafto right now, what would it be? A powerful AI tool? A ready-to-use template? An automation? Something completely new? Drop your idea below. 👇

Krafto is an AI-ready digital marketplace where creators can sell digital products and users can discover and purchase them. But Krafto goes beyond a traditional digital store. Its MCP layer allows compatible AI applications and agents to interact with supported Krafto capabilities, opening the door to AI-powered discovery and workflows. In simple terms: Creators → Sell digital products Users → Discover & buy products AI → Interact with supported Krafto capabilities through MCP This forum will share Krafto guides, updates, MCP information, troubleshooting, and useful tips to help you get the most out of the platform.

Krafto is a marketplace for discovering and purchasing digital products from creators. From useful resources and templates to tools and AI-focused products, Krafto brings different types of digital products together in one place. New products can be added by creators as the marketplace grows.

Krafto gives creators a place to publish, showcase, and sell their digital products. Creators can reach customers through the marketplace while building their own digital product catalog inside the Krafto ecosystem.

If you could add one digital product to Krafto right now, what would it be? A powerful AI tool? A ready-to-use template? An automation? Something completely new? Drop your idea below. 👇

Krafto is a marketplace for discovering and purchasing digital products from creators. From useful resources and templates to tools and AI-focused products, Krafto brings different types of digital products together in one place. New products can be added by creators as the marketplace grows.

APIs have been the standard way for software to communicate for years. MCP introduces another approach where AI applications can discover and interact with tools and resources through a standardized protocol. For a new AI-first product, which approach would you prioritize? Would you expose a REST API, build an MCP server, or provide both? And if you choose MCP, what would you expose first: tools, resources, prompts, or a combination of them? Drop your technical take below. 👇

Krafto brings together a digital marketplace and AI-ready infrastructure. Creators can publish digital products, users can discover and purchase them, and supported AI applications can interact with Krafto through its MCP layer. This creates a bridge between digital products, marketplaces, and AI-powered workflows. https://trykrafto.xyz/

If you could add one digital product to Krafto right now, what would it be? A powerful AI tool? A ready-to-use template? An automation? Something completely new? Drop your idea below. 👇

We’ve all got that one annoying tech problem that keeps showing up. Maybe it’s repetitive development work, managing files, connecting different tools, finding the right API, automating a workflow, or getting AI to actually understand what you need. What’s one tech problem you would love to hand over to AI? Tell us what the problem is and how you’d ideally want AI to solve it. Your answer could spark a useful tool, integration, or even a new idea for the Krafto ecosystem

MCP (Model Context Protocol) lets compatible AI applications connect with external tools and services in a structured way. Krafto uses MCP to make its supported marketplace capabilities AI-accessible, allowing AI agents to interact with Krafto instead of relying only on traditional manual workflows. https://trykrafto.xyz/mcp

Krafto brings together a digital marketplace and AI-ready infrastructure. Creators can publish digital products, users can discover and purchase them, and supported AI applications can interact with Krafto through its MCP layer. This creates a bridge between digital products, marketplaces, and AI-powered workflows. https://trykrafto.xyz/

Writing code alone can create blind spots. You know why you wrote a particular function. You know what a variable was supposed to represent. You know which shortcut was temporary. After enough time, all of those assumptions become invisible to you. That is why code review is useful. Post a piece of code you've written and tell us what it does, what language it uses, and what kind of feedback you're looking for. Maybe you want suggestions for readability. Maybe you're wondering whether your architecture is sensible. Maybe there is a performance concern. Maybe you're uncertain about security, testing, naming, error handling, or how the code will behave as the project grows. Constructive criticism is encouraged. "Your code sucks" isn't useful. Explaining why something may become difficult to maintain is useful. Also, reviewers should remember that not every project needs enterprise-level architecture. Sometimes simple code is exactly the right solution. For people posting code, don't just ask whether it "looks good." Ask specific questions. That makes it much easier for reviewers to provide meaningful feedback. Post something you've written recently and tell us what you want other developers to look at.

Database choices are one of those decisions that developers can argue about for hours. PostgreSQL versus MySQL. SQL versus NoSQL. Managed database versus self-hosted. Relational systems versus document databases. One database versus several specialized systems. But the interesting part isn't which database is universally "best." There probably isn't one. The real question is: what problem are you solving? For a new project, would you choose PostgreSQL because of its flexibility and relational features? SQLite because you want simplicity? MongoDB because your data model fits documents naturally? Redis for specific high-speed workloads? Something distributed because you're operating at a very large scale? I'd also like to hear people's experiences after choosing a database and living with that decision. Did your original choice make development easier? Did you eventually hit scaling limitations? Was migration painful? Did you discover that a feature you assumed you'd need was completely unnecessary? Another interesting area is database architecture in smaller applications. There is a growing trend toward keeping systems surprisingly simple: one application, one relational database, and perhaps a cache only when it is actually needed. What database are you using right now, and what do you like or dislike about it? Share real experiences rather than benchmarks alone. Sometimes the most useful database advice comes from someone who had to maintain one for two years.

Every developer eventually makes something that deserves to exist outside their own computer. It could be a tiny script that saves five minutes every day. A website you spent months designing. An open-source library. A game prototype. A mobile app. A hardware experiment. An AI tool. A personal dashboard. A ridiculous weekend project that somehow became useful. This is the place to show it. Post your project and give us a quick introduction. What does it do? Why did you build it? Which technologies did you use? How long did it take? What was the hardest part? Is it finished, actively developed, abandoned, or still experimental? Links are welcome when they're safe and relevant, but the project description should stand on its own so people understand what they're looking at before clicking. Don't worry about whether the project is "big enough." Small projects often teach the most because you can actually explain every part of them. I'd also encourage people to ask for feedback. What would you improve? What feature should come next? Does the interface make sense? Is there something users might find confusing? Let's turn this community into a place where people discover interesting things built by other people here.

Indie game development has a strange romantic image. One developer, one laptop, one incredible idea, and eventually a successful game. Reality is usually much messier. Projects become too large. Art takes longer than expected. The scope explodes. Developers lose motivation. Systems need rewriting. Marketing gets ignored until launch is approaching. Then the game is finally finished and the developer realizes nobody knows it exists. So what is your biggest obstacle? Is it programming? Art? Time? Money? Motivation? Scope? Marketing? Finding collaborators? Learning an unfamiliar tool? I'd especially like to hear about projects that are currently unfinished. What is the game? How long have you been building it? What was the original scope, and how has it changed? One of the most valuable things an indie developer can learn is how to reduce scope without destroying the idea. Sometimes cutting half the features is what finally makes shipping possible. If you've successfully released an indie game, share what surprised you most about the process. If you haven't released one yet, tell us what you're working on and what you believe is currently stopping you. Maybe another developer here has already fought the same boss battle.